EMI 1D laterally-constrained inversion

<p dir="ltr">Included here are the software used to invert the drone-towed electromagnetic induction data to predict the conductivity of the subsurface. </p><p dir="ltr">This is done using a simple 1D medium forward model and a Covariance Matrix Adaptation Evolution Strategy (CMAES) to find a solution that minimises a cost function.</p><p dir="ltr">Data for the inversion scheme can be found at: http://doi.org/10.11583/DTU.24941883</p><p dir="ltr">The following files are available:</p><ol><li> Test_of_forward_model.py</li><li> helper_functions.py</li><li> thy_data_processing.py</li><li> Run_processing.sh</li><li> README.txt</li></ol><p dir="ltr"> Data file Description:</p><ul><li> [1] [Test_of_forward_model.py]: Python script enabling testing of the forward model. Three 1D subsurface is tested. </li><li> [2] [helper_functions.py]: This Python script contains the forward model function, the objective function, the misfit function, and associated functions.</li><li> [3] [thy_data_processing.py]: This Python script is the main script which takes care of the 1D medium inversion using the CMA.</li><li> [4] [Run_processing.sh]: This bash script exemplifies how "thy_data_processing.py" can be executed.</li><li> [5] [README.txt]:This files</li></ul><p></p>